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Artificial Intelligence

OpenAI revised its projected cash burn through 2029 to $115 billion—about 230% higher than earlier estimates. This alteration demonstrates how capital-intensive model training and deployment have become and how far those costs are beyond what traditional startup economics can sustain. These financial forecasts illustrate a ballooning cash burn matched by surging investments and rising revenue expectations. OpenAI might need to explore tactics like affiliate links or in-chat advertising for monetization and added incentives and premium features to convert free users into paying ones.

AI is taking over tasks once handled by junior staff. Agencies and brands are embracing the efficiency and cost savings of AI—but at the risk of cutting the very pipeline that feeds future leadership, per MarTech. Marketers are realizing they can’t afford to treat AI as a zero-sum replacement for junior talent. The smart play is balance: Use AI for short-term efficiency while still investing in entry-level hires who can grow into long-term strategists and leaders. Pair automation with training, expand AI education, and let young staff lead adoption. That balance drives efficiency now while protecting tomorrow’s talent pipeline.

When consumers control digital discourse, brands face heightened pressure to get their messaging right, creating a market for AI-generated testing and vetting that detects potential backlash.

Warner Bros. Discovery has sued AI image generator Midjourney, alleging “mass theft” of copyrighted TV and film IP. The complaint highlights prompts producing near-identical images of characters like Bugs Bunny, Batman, Superman, and Scooby-Doo. Disney and NBCUniversal filed similar claims, arguing Midjourney diverts consumers from licensed products while profiting from subscriptions. Studios seek damages up to $150,000 per infringed work. The case raises critical questions over whether training AI on copyrighted content qualifies as “fair use.” With marketers already using AI image tools at scale, the lawsuit underscores mounting legal, financial, and reputational risks tied to unlicensed generative content.

Generative AI advertising is drawing consumer backlash after brands including J.Crew, Shein, and Skechers released campaigns marred by obvious AI flaws. Internet sleuths and critics pointed to distorted figures, suspicious likenesses, and poorly rendered images, accusing companies of chasing novelty at the expense of quality. The incidents highlight consumer frustration with brands prioritizing speed and cost savings over authenticity—particularly in fashion and retail, where heritage and trust are core to brand equity. Experts argue AI can accelerate creative production, but only when paired with human direction and craftsmanship. Missteps reveal the risks of treating AI as a replacement.

AI means something different to every retailer—and their level of adoption reflects that range.

The trend: Healthcare executives expect AI adoption to be the leading trend in the next two years and have high expectations for improvements in patient care, per a new survey from Sage Growth Partners. Sage surveyed 101 healthcare system and hospital C-suite executives during the second quarter about AI opportunities and investment plans. AI can help healthcare shift from reactive to proactive care by transforming the vast amount of data from health sensors into actionable insights. However, the key is to integrate this AI as a tool to support, not replace, a provider's judgment. AI predictive assessments and analytics add valuable information, but providers’ experience, critical thinking, and empathy are necessary not only for balanced diagnoses but also to maintain patients’ trust. A recent study in JAMA found that patients think physicians who use AI are less trustworthy, less competent, and less empathetic than those who didn’t. For now at least, AI use in healthcare is a significant perception hurdle requiring transparent disclosure and careful oversight.

The news: Even before the IFA 2025 show floor opens in Berlin, brands are flooding Europe’s CES with announcements pushing AI beyond PCs and phones into the smart home. Ambient intelligence promises proactive tech: Manufacturers unveiled ecosystems that link appliances, security, lighting, and entertainment—using “ambient intelligence” to replace voice and app commands with proactive, intuitive service. Our take: The race to ambient intelligence shows where innovation is headed—invisible systems that anticipate needs. But over-automation risks eroding consumer control and deepening dependence on walled gardens.

The news: Apple will reportedly launch an AI-enabled web search tool powered by Google’s Gemini, potentially accelerating long-awaited software improvements and helping Apple enter the AI search race, per Bloomberg. The “answer engine” would be integrated with Siri and could help Apple compete with OpenAI and Perplexity. The feature, internally called World Knowledge Answers, will aggregate information from across the web into AI Overviews-esque summaries. It may eventually be added to Safari and Spotlight. Our take: Apple’s pivot toward external AI partnerships highlights how unready it is to compete head-to-head in foundational AI or search. While a Gemini integration could improve Siri and add powerful search capabilities, it could threaten Apple’s core advantage: total control over the user experience.

Some 35% of US retail advertiser spending on Meta in Q2 2025 went to Advantage+ shopping campaigns, up from just 19% two years ago, per a July Tinuiti report.

Meta will allow advertisers to exclude specific words or phrases from AI-generated ad copy to protect and align with brand image as it accelerates its AI advertising push. While barriers to adoption remain, Meta’s continued push toward AI ad automation signals where the future of advertising is heading: One where AI will increasingly balance scale with control to give marketers confidence in experimenting with automated campaigns.

A federal court stopped short of ordering Google to divest Chrome, instead requiring it to end exclusive search contracts and share some index data with competitors. Judge Amit Mehta’s ruling allows Google to keep paying Apple for default placement but bans exclusivity that kept rivals sidelined. Alphabet shares rose 8% after hours, while Apple gained 4%. Google faces six years of oversight but avoids a structural breakup sought by the DOJ. The bigger challenge looms outside the courtroom: AI tools, Reddit, and TikTok are increasingly siphoning queries, while Google’s top-result clickthrough rates continue to slide.

The news: Mistral, a French AI company founded by former Meta and Google DeepMind employees, unlocked premium features including persistent memory, deep business app integrations, and user-controlled privacy on its Le Chat platform at no cost, per VentureBeat. This undercuts rivals like OpenAI and Anthropic that wall off such tools behind paywalls and paid premium. Our take: Free enterprise-grade AI features and cross-platform integrations accelerate adoption, experimentation, and innovation. By enabling data export between AI providers, brands cut switching costs and gain leverage in an interoperable AI market.

The news: AI startup Anthropic raised a staggering $13 billion, tripling its valuation to $183 billion, per CNBC. This momentum is driven by enterprise demand for Claude, Anthropic’s AI assistant, and a rapidly expanding customer base that now tops 300,000 businesses. The company’s annual revenues have also jumped fivefold in 2025 to $5 billion. Our take: Anthropic’s ascent is setting a new standard for AI startups—spurring rivals like Perplexity, Mistral, Intelligent Machines, and Safe Superintelligence to chase scale through aggressive fundraising, not quick exits. The message: In this market, go big or get left behind.

The news: OpenAI will acquire product-testing startup Statsig for $1.1 billion as it expands its applications division. Statsig CEO Vijaye Raji, formerly vice president and head of entertainment at Facebook, will join OpenAI as CTO of applications. OpenAI said the deal, pending regulatory approval, will help it develop “even better, more responsive experiences for the people and businesses we serve,” per a press release. Our take: This deal positions OpenAI to launch entirely new categories of AI-powered experiences—personalized content feeds, collaborative AI tools, or productivity suites.

The news: Use of AI search tools is surging, which could soon spell trouble for Google’s market dominance. The share of consumers using of AI search tools on a daily basis doubled to 29% in August, per HigherVisibility’s 2025 How People Search Today report, up from 14% in February. Meanwhile, Google’s share of general information queries fell from 73% to 67%. Our take: Brands and marketers need to tailor their campaigns and strategies based on user intent. Those looking to attract new shoppers should invest in social media and AI search placements, while those focused on driving traffic for services or capturing high-intent buyers should prioritize Google, especially for initial discovery and location-based queries.

"In the space of what amounts to less than two years, we've seen commerce media evolve from an emerging idea to an industry pillar," said our analyst Sarah Marzano during a recent EMARKETER webinar.

AI search engine Perplexity is facing potential ad business struggles with the departure of its head of advertising Taz Patel. The departure comes as Perplexity eyes new avenues for growth and is faced with legal pressures, per Adweek. Patel’s departure signals a deeper issue with AI search ad monetization, reflecting advertiser hesitation to spend without proven formats, measurement, and ROI, even as AI adoption grows.

The news: OpenAI is rolling out ChatGPT mental health safeguards for people in crisis and boosting protection specifically for teens with added Parental Controls. Our take: Additional AI guardrails are a positive mental health development, but tech companies should continue to develop more. Healthcare is an important emerging use case for AI, but when it comes to mental health, caution and vigilance needs to trump speed to market.

The news: Anthropic will now require Claude Free, Pro, and Max users to decide whether their conversations can be used to train its AI. The new rules take effect September 28, and business customers remain exempt, per TechCrunch. Some users on Reddit say the change is making them reconsider Anthropic, citing the five-year data retention requirement as heavy handed. Our take: Anthropic says its new policy is intended to empowering user choice, but skepticism over privacy and consent could push users to opt out or seek other alternatives. As more AI providers prioritize data access over user comfort, transparency and trust will become differentiators in a crowded field. AI’s appetite for training data is going to continue to push privacy and copyright boundaries. Anthropic’s ability to manage trust will determine whether the policy change aids or undermines adoption.